ESTIMATION OF THE ECONOMIC BURDEN IN TRAINING HOSPITAL PERSONNEL FOR INTRAUTERINE DEVICE APPLICATION USING A MONTE CARLO MATHEMATICAL MODEL
Author(s)
Fernando A. Ortiz Gonzalez, Sr., MD1, Eduardo A. Cruz, Sr., BSc, Other2, Guillermo Alejandro Goitia Landeros, Sr.3, Felipe de Jesús Compeán Báez, Sr3, José Vite Bautista, Sr3, Abril Adriana Arellano Llamas, Sra.4.
1Biología de la Reproducción Humana, Instituto Mexicano Del Seguro Social Unidad Medica de Alta Especialidad Hospital de Gineco Obstetricia No 3 “Dr. Víctor Manuel Espinosa de Los Reyes Sánchez” del Centro Médico nacional “La Raza”, Ciudad de México, Mexico, 2BIOSEP SA DE CV, Guadalajara, Mexico, 3Biología de la Reproducción Humana, Instituto Mexicano del Seguro Social, Ciudad de México, Mexico, 4División de Investigación en Salud Unidad Médica de Alta Especialidad, Instituto Mexicano del Seguro Social, Ciudad de México, Mexico.
1Biología de la Reproducción Humana, Instituto Mexicano Del Seguro Social Unidad Medica de Alta Especialidad Hospital de Gineco Obstetricia No 3 “Dr. Víctor Manuel Espinosa de Los Reyes Sánchez” del Centro Médico nacional “La Raza”, Ciudad de México, Mexico, 2BIOSEP SA DE CV, Guadalajara, Mexico, 3Biología de la Reproducción Humana, Instituto Mexicano del Seguro Social, Ciudad de México, Mexico, 4División de Investigación en Salud Unidad Médica de Alta Especialidad, Instituto Mexicano del Seguro Social, Ciudad de México, Mexico.
OBJECTIVES: To evaluate the projected economic burden and its impact on the training of hospital personnel over a 5‑year period for intrauterine device application, with the aim of reducing cases requiring hysteroscopic removal of translocated intrauterine devices in a Mexican public health institution.
METHODS: Clinical records of 72 patients who underwent hysteroscopy for removal of a translocated intrauterine device were reviewed. These cases generated a total economic burden of 5,165,267.20 MXN, with an average cost per patient of 71,739.82 MXN. A Monte Carlo predictive model was subsequently developed to estimate the economic cost and potential savings if the public health institution implemented an annual training program costing 60,000 MXN over a 5‑year projection.
RESULTS: It was estimated that implementing an annual 60,000 MXN training program for hospital personnel focused on proper intrauterine device application, with a 5‑year projection and a baseline intention of reducing hysteroscopic removals by 40%, would yield a gross savings of 3,443,313.33 MXN. Under an optimal scenario achieving a 20% reduction, the estimated gross savings would be 1,721,656.67 MXN. Additionally, the model projected that achieving a 60% reduction in cases would result in savings of 5,104,970.00 MXN.
CONCLUSIONS: The Monte Carlo predictive model may be a useful tool for estimating healthcare expenditures and calculating a budget that closely reflects real costs.
METHODS: Clinical records of 72 patients who underwent hysteroscopy for removal of a translocated intrauterine device were reviewed. These cases generated a total economic burden of 5,165,267.20 MXN, with an average cost per patient of 71,739.82 MXN. A Monte Carlo predictive model was subsequently developed to estimate the economic cost and potential savings if the public health institution implemented an annual training program costing 60,000 MXN over a 5‑year projection.
RESULTS: It was estimated that implementing an annual 60,000 MXN training program for hospital personnel focused on proper intrauterine device application, with a 5‑year projection and a baseline intention of reducing hysteroscopic removals by 40%, would yield a gross savings of 3,443,313.33 MXN. Under an optimal scenario achieving a 20% reduction, the estimated gross savings would be 1,721,656.67 MXN. Additionally, the model projected that achieving a 60% reduction in cases would result in savings of 5,104,970.00 MXN.
CONCLUSIONS: The Monte Carlo predictive model may be a useful tool for estimating healthcare expenditures and calculating a budget that closely reflects real costs.
Conference/Value in Health Info
2026-11, ISPOR Europe 2026, Vienna, Austria
Value in Health, Volume 29, Issue 12S
Code
EE571
Topic
Economic Evaluation, Health Policy & Regulatory, Health Service Delivery & Process of Care
Topic Subcategory
Cost/Cost of Illness/Resource Use Studies
Disease
Reproductive & Sexual Health, Surgery